Holleken
E935303
Holleken is a local railway station serving the suburban area near Brussels, Belgium.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Holleken canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11550229 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holleken Context triple: [Brussels railway stations, hasStation, Holleken]
-
A.
Hackenholt
Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
-
B.
Holendrecht
Holendrecht is a metro station in Amsterdam serving the southeastern part of the city, including the nearby academic hospital and university campus.
-
C.
Haaksbergen
Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
-
D.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
E.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holleken Target entity description: Holleken is a local railway station serving the suburban area near Brussels, Belgium.
-
A.
Hackenholt
Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
-
B.
Holendrecht
Holendrecht is a metro station in Amsterdam serving the southeastern part of the city, including the nearby academic hospital and university campus.
-
C.
Haaksbergen
Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
-
D.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
E.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
railway stop ⓘ |
| country | Belgium ⓘ |
| electrified | yes ⓘ |
| fareZone | Brussels suburban zone ⓘ |
| hasFunction | passenger station ⓘ |
| hasInfrastructure |
railway platforms
ⓘ
railway tracks ⓘ |
| hasLanguageRegion | Dutch-speaking region ⓘ |
| hasPlatform | yes ⓘ |
| hasService |
local trains
ⓘ
suburban trains ⓘ |
| hasTracks | yes ⓘ |
| locatedIn |
Belgium
ⓘ
Flemish Region ⓘ municipality of Linkebeek ⓘ province of Flemish Brabant ⓘ |
| locatedNear |
Brussels
ⓘ
linked to:
Brussels, Belgium
|
| operator |
National Railway Company of Belgium
ⓘ
linked to:
SNCB/NMBS
|
| ownedBy |
National Railway Company of Belgium
ⓘ
linked to:
SNCB/NMBS
|
| partOf |
Brussels suburban railway network
ⓘ
linked to:
Brussels suburban rail network
|
| railwayType | commuter rail station ⓘ |
| serves | suburban area near Brussels ⓘ |
| servesCity | Brussels metropolitan area ⓘ |
| usedFor |
commuter traffic
ⓘ
regional passenger traffic ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Holleken Description of subject: Holleken is a local railway station serving the suburban area near Brussels, Belgium.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.